claude

setec-voiceprint

Text-only stylometry for authorial voice in prose — not audio voice identification or speaker recognition. Stylometric tools for AI-prose smoothing diagnosis and authorial-voice coherence comparison. Five task surfaces: smoothing diagnosis (Layer A variance signals on prose), authorial-voice coherence comparison (Burrows-style Delta + cluster mode + idiolect preservation lists + authorial-voice drift tracking across time periods + per-POV authorial-voiceprints with voice-collapse detection + impostor-pool acquisition for the General Imposters method), validation + calibration (manifest integrity + corpus-hygiene gate + ROC/PR harness on smoothing and authorial-voice coherence + voice-validation harness + per-comparator + per-(judge × generator) direction-routed calibration toolchain with bake-off matrix runner + length-stratified subsampling + slicer/polarity-audit chainer + provenance ledger), craft-restoration (AIC flag families, source triage, rhetorical countermoves, metric-targeted restoration packets that translate diagnostic outputs into bounded revision-safe prompts, before/after restoration verdicts with metric-gaming detection), and discrimination evidence shipped uncalibrated by default (Hans et al. 2024 Binoculars two-model perplexity audit + the SETEC external-mirror multi-LLM continuation-distance evidence pack). Python tooling spans manuscript-level audits, sliding-window localization, length-matched bootstrap percentiles, R `stylo` oracle verification, MVP empirical validation against labeled corpora, live blog acquisition (Substack / WordPress / generic-HTML / Wayback), offline Blogger Takeout import, online literary-horror magazine scraping (Nightmare, The Dark, with per-magazine modules behind a uniform CLI), and PDF library inventory + extraction (pypdf text-layer + optional ocrmypdf OCR) for the impostor pool. 'Voiceprint' in the name refers to authorial voice in prose (Burrows-Delta-style authorship fingerprinting), not vocal spectography.

2 on GitHubby anotherpanacea-engv1.106.1GPL-3.0-or-laterupdated yesterdaywriting
/

Plugin setec-voiceprint from marketplace setec-voiceprint in anotherpanacea-eng/setec-voiceprint. Commands read from the repo's manifest — yesterday.

What it installs

Skills (8)

  • corpus-acquisition

    Help the user adapt SETEC's acquisition pipeline to a new source. Use when the user wants to add prose to the impostor pool from a source the framework doesn't already cover: a Slack export, an Obsidian vault, a Notion dump, an mbox file, a Discord export, a custom CMS, a JSON archive, an internal w

  • craft-restoration

    Identify AI-prose craft patterns (the seven AIC flag families) in a passage, decide whether each pattern is earned in context, and recommend specific revision moves. Use when the user asks to "audit this passage for AI patterns," "is this earned in context," "Negation hedge," "Indefinite-pronoun ges

  • metric-targeted-restoration

    Translate SETEC diagnostic outputs (variance audit, POS-bigram diff, voice distance, idiolect detector, AIC pattern audit) into bounded revision-safe prompt packets that classify each signal as direct, translated, investigate-first, or avoid-direct. Use when the user asks to "reverse this smoothing

  • setec

    Discoverability entry point for the SETEC Voiceprint framework. Use when the user asks "what can SETEC do," "which audit should I run for X," "what's available given my dependencies," "how do I detect / measure / diagnose / audit Y in this prose," or otherwise needs help routing among the framework'

  • setup

    First-run dependency check for the SETEC framework. Use when the user has just installed the plugin, asks about "setting up SETEC," reports a "module not found" error from a SETEC script, asks "what does this plugin need to run," asks how to install spaCy / pypdf / ocrmypdf / transformers / torch fo

  • smoothing-diagnosis

    Diagnose AI-prose smoothing in fiction or argument-shaped nonfiction. Use when the user asks to "audit prose for AI smoothing," "run a variance audit," "check for AI patterns in this draft," "is this draft compressed," "Layer A diagnostic," "manuscript-wide variance audit," "habit vocabulary," "chap

  • validation

    Validate a SETEC corpus manifest, then measure how SETEC's smoothing- diagnosis or voice-coherence signals discriminate against labeled validation entries in that manifest. Use when the user asks to "validate the manifest," "check corpus_manifest.jsonl for errors," "check the corpus for contaminatio

  • voice-coherence

    Measure how far a target draft has drifted from a writer's or register's stylometric baseline. Use when the user asks to "compare this draft to my baseline," "measure voice distance," "build a voice profile," "voiceprint this corpus," "has my voice drifted," "Burrows Delta against my prior work," "f

View source on GitHub

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